Job Summary

In this role, the Sr. People Scientist will drive the measurement strategy to evaluate Service Now’s learning ecosystem serving employees, customers and partners globally and conduct related workplace research. You will apply research methods and advanced analytical techniques to understand the impact of learning programs, initiatives, and technology, generating insights that will inform strategic decision-making regarding investment in learning programs, program design, and platform optimization.

You must have excellent applied research and quantitative skills, as well as communication, presentation and writing skills. You must have the ability to view all activities from an ecosystem lens to drive results. The ideal candidate has passion for and expertise in using diverse methodologies to measure program success and inform business decisions.

Key Roles and Responsibilities

• Design and execute comprehensive program evaluation frameworks using established evaluation models and measurement theory principles
• Partner cross-functionally with HR and business stakeholders to identify appropriate methodology to address needs and answer key organizational questions
• Analyze learning platform data, including engagement metrics, completion rates, assessment scores, learner feedback, and longitudinal performance trends and conduct statistical analysis to identify relationships with key business outcomes
• Translate complex data findings into clear, actionable insights to drive program improvement and inform business decisions.
• Manage research and program evaluation projects from start to finish, with minimal guidance
• Design, build, and deploy surveys focused on training and program evaluation
• Leverage emerging AI tools to enhance data analysis, automate repetitive research tasks, and generate faster, more accurate insights to support people decisions.

Required Qualifications

• Bachelor's degree in Education, Organizational Psychology, Learning Sciences, Statistics, Data Science, or related field; (Master’s degree or higher strongly preferred)
• Advanced proficiency in quantitative research methods, including experimental design, survey methodology, and psychometric principles
• Advanced proficiency in statistical analysis and data visualization tools (e.g., R, Python, Tableau, Power BI)
• Strong SQL skills and experience working with large, complex datasets from multiple sources
• 6+ years of experience in program evaluation, learning analytics, or organizational research
• Ability to initiate and drive research projects to completion with minimal guidance
• Ability and motivation to work on multidisciplinary teams and gain expertise in cross-functional success metrics (e.g., sales, engineering, and finance metrics)
• Strong business acumen skills including strong written communication, data visualization, and presentation to executive audiences

Preferred Qualifications

• Demonstrated expertise applying measurement theory and evaluation frameworks to assess learning program effectiveness
• Experience working with Learning Experience Platforms (LXP), Learning Management Systems (LMS), or similar learning technologies
• Proven track record designing and executing evaluation studies that have influenced organizational learning strategy

For positions in this location, we offer a base pay of $129,300 - $226,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.

Equal Opportunity Employer

Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now obtaining any export license or other approval that may be required by relevant export control authorities.

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It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.